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<a href="#pub-methods">Public Member Functions</a> &#124;
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<p>Winograd information.  
 <a href="structarm__compute_1_1_winograd_info.xhtml#details">More...</a></p>

<p><code>#include &lt;<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>&gt;</code></p>
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Collaboration diagram for WinogradInfo:</div>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:af8cfb6ab1e028484d875995bf6c224e3"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#af8cfb6ab1e028484d875995bf6c224e3">WinogradInfo</a> (<a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> output_tile_sz, <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> kernel_sz, <a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> input_dims, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> conv_info, <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> data_layout)</td></tr>
<tr class="memdesc:af8cfb6ab1e028484d875995bf6c224e3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#af8cfb6ab1e028484d875995bf6c224e3">More...</a><br /></td></tr>
<tr class="separator:af8cfb6ab1e028484d875995bf6c224e3"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Data Fields</h2></td></tr>
<tr class="memitem:a5cd6561e9acc0cf9ba11bc2f51ec7a33"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#a5cd6561e9acc0cf9ba11bc2f51ec7a33">output_tile_size</a> {}</td></tr>
<tr class="memdesc:a5cd6561e9acc0cf9ba11bc2f51ec7a33"><td class="mdescLeft">&#160;</td><td class="mdescRight">Width and height of the output tile.  <a href="#a5cd6561e9acc0cf9ba11bc2f51ec7a33">More...</a><br /></td></tr>
<tr class="separator:a5cd6561e9acc0cf9ba11bc2f51ec7a33"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aca57076ead1d06c47d3d32f4302b14ac"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#aca57076ead1d06c47d3d32f4302b14ac">kernel_size</a> {}</td></tr>
<tr class="memdesc:aca57076ead1d06c47d3d32f4302b14ac"><td class="mdescLeft">&#160;</td><td class="mdescRight">Width and height of the kernel.  <a href="#aca57076ead1d06c47d3d32f4302b14ac">More...</a><br /></td></tr>
<tr class="separator:aca57076ead1d06c47d3d32f4302b14ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af9ef316b2c98c946b47cd18f1319b93f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#af9ef316b2c98c946b47cd18f1319b93f">input_dimensions</a> {}</td></tr>
<tr class="memdesc:af9ef316b2c98c946b47cd18f1319b93f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Width and height of the input tensor before the convolution is applied.  <a href="#af9ef316b2c98c946b47cd18f1319b93f">More...</a><br /></td></tr>
<tr class="separator:af9ef316b2c98c946b47cd18f1319b93f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad99e40b120f0a9e96821c08bf60a84f2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#ad99e40b120f0a9e96821c08bf60a84f2">convolution_info</a> {}</td></tr>
<tr class="memdesc:ad99e40b120f0a9e96821c08bf60a84f2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Convolution info (Pads, strides,...)  <a href="#ad99e40b120f0a9e96821c08bf60a84f2">More...</a><br /></td></tr>
<tr class="separator:ad99e40b120f0a9e96821c08bf60a84f2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0bc60aaf23b2d3ed3b344576a708e84e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml#a0bc60aaf23b2d3ed3b344576a708e84e">output_data_layout</a> { <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> }</td></tr>
<tr class="memdesc:a0bc60aaf23b2d3ed3b344576a708e84e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Data layout to use for the output tensor once the convolution has been applied (NCHW or NHWC)  <a href="#a0bc60aaf23b2d3ed3b344576a708e84e">More...</a><br /></td></tr>
<tr class="separator:a0bc60aaf23b2d3ed3b344576a708e84e"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Winograd information. </p>

<p>Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01140">1140</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a class="anchor" id="af8cfb6ab1e028484d875995bf6c224e3"></a>
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          <td class="memname"><a class="el" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a> </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td>
          <td class="paramname"><em>output_tile_sz</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td>
          <td class="paramname"><em>kernel_sz</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>&#160;</td>
          <td class="paramname"><em>input_dims</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>&#160;</td>
          <td class="paramname"><em>conv_info</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&#160;</td>
          <td class="paramname"><em>data_layout</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
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<p>Default constructor. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">output_tile_sz</td><td>Width and height of the output tile </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">kernel_sz</td><td>Width and height of the kernel </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">input_dims</td><td>Width and height of the input tensor before the convolution is applied </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Convolution info (Pads, strides) </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">data_layout</td><td>Data layout to use for the output tensor once the convolution has been applied </td></tr>
  </table>
  </dd>
</dl>

<p>Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01150">1150</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>
<div class="fragment"><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160;        : <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#a5cd6561e9acc0cf9ba11bc2f51ec7a33">output_tile_size</a>(output_tile_sz), <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#aca57076ead1d06c47d3d32f4302b14ac">kernel_size</a>(kernel_sz), <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#af9ef316b2c98c946b47cd18f1319b93f">input_dimensions</a>(input_dims), <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#ad99e40b120f0a9e96821c08bf60a84f2">convolution_info</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>), <a class="code" href="structarm__compute_1_1_winograd_info.xhtml#a0bc60aaf23b2d3ed3b344576a708e84e">output_data_layout</a>(data_layout)</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160;    {</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160;    }</div><div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_a0bc60aaf23b2d3ed3b344576a708e84e"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#a0bc60aaf23b2d3ed3b344576a708e84e">arm_compute::WinogradInfo::output_data_layout</a></div><div class="ttdeci">DataLayout output_data_layout</div><div class="ttdoc">Data layout to use for the output tensor once the convolution has been applied (NCHW or NHWC) ...</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01159">Types.h:1159</a></div></div>
<div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_ad99e40b120f0a9e96821c08bf60a84f2"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#ad99e40b120f0a9e96821c08bf60a84f2">arm_compute::WinogradInfo::convolution_info</a></div><div class="ttdeci">PadStrideInfo convolution_info</div><div class="ttdoc">Convolution info (Pads, strides,...) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01158">Types.h:1158</a></div></div>
<div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_a5cd6561e9acc0cf9ba11bc2f51ec7a33"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#a5cd6561e9acc0cf9ba11bc2f51ec7a33">arm_compute::WinogradInfo::output_tile_size</a></div><div class="ttdeci">Size2D output_tile_size</div><div class="ttdoc">Width and height of the output tile. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01155">Types.h:1155</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acbf8f8a6dd185de04c1981c57a8963cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00360">Winograd.cpp:360</a></div></div>
<div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_aca57076ead1d06c47d3d32f4302b14ac"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#aca57076ead1d06c47d3d32f4302b14ac">arm_compute::WinogradInfo::kernel_size</a></div><div class="ttdeci">Size2D kernel_size</div><div class="ttdoc">Width and height of the kernel. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01156">Types.h:1156</a></div></div>
<div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml_af9ef316b2c98c946b47cd18f1319b93f"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml#af9ef316b2c98c946b47cd18f1319b93f">arm_compute::WinogradInfo::input_dimensions</a></div><div class="ttdeci">Size2D input_dimensions</div><div class="ttdoc">Width and height of the input tensor before the convolution is applied. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01157">Types.h:1157</a></div></div>
</div><!-- fragment -->
</div>
</div>
<h2 class="groupheader">Field Documentation</h2>
<a class="anchor" id="ad99e40b120f0a9e96821c08bf60a84f2"></a>
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<div class="memproto">
      <table class="memname">
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          <td class="memname"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> convolution_info {}</td>
        </tr>
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</div><div class="memdoc">

<p>Convolution info (Pads, strides,...) </p>

<p>Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01158">1158</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>

<p>Referenced by <a class="el" href="_shape_calculator_8h_source.xhtml#l00246">arm_compute::misc::shape_calculator::compute_winograd_input_transform_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00268">arm_compute::misc::shape_calculator::compute_winograd_output_transform_shape()</a>, <a class="el" href="utils_2_type_printer_8h_source.xhtml#l01534">arm_compute::operator&lt;&lt;()</a>, <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00178">arm_compute::test::validation::reference::winograd_input_transform()</a>, and <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00334">arm_compute::test::validation::reference::winograd_output_transform()</a>.</p>

</div>
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          <td class="memname"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> input_dimensions {}</td>
        </tr>
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<p>Width and height of the input tensor before the convolution is applied. </p>

<p>Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01157">1157</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>

<p>Referenced by <a class="el" href="_shape_calculator_8h_source.xhtml#l00268">arm_compute::misc::shape_calculator::compute_winograd_output_transform_shape()</a>, and <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00334">arm_compute::test::validation::reference::winograd_output_transform()</a>.</p>

</div>
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<a class="anchor" id="aca57076ead1d06c47d3d32f4302b14ac"></a>
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          <td class="memname"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> kernel_size {}</td>
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      </table>
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<p>Width and height of the kernel. </p>

<p>Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01156">1156</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>

<p>Referenced by <a class="el" href="_shape_calculator_8h_source.xhtml#l00231">arm_compute::misc::shape_calculator::compute_winograd_filter_transform_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00246">arm_compute::misc::shape_calculator::compute_winograd_input_transform_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00268">arm_compute::misc::shape_calculator::compute_winograd_output_transform_shape()</a>, <a class="el" href="utils_2_type_printer_8h_source.xhtml#l01534">arm_compute::operator&lt;&lt;()</a>, <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00261">arm_compute::test::validation::reference::winograd_filter_transform()</a>, <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00178">arm_compute::test::validation::reference::winograd_input_transform()</a>, and <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00334">arm_compute::test::validation::reference::winograd_output_transform()</a>.</p>

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          <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> output_data_layout { <a class="el" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> }</td>
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<p>Data layout to use for the output tensor once the convolution has been applied (NCHW or NHWC) </p>

<p>Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01159">1159</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>

<p>Referenced by <a class="el" href="_shape_calculator_8h_source.xhtml#l00268">arm_compute::misc::shape_calculator::compute_winograd_output_transform_shape()</a>, <a class="el" href="utils_2_type_printer_8h_source.xhtml#l01534">arm_compute::operator&lt;&lt;()</a>, and <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00334">arm_compute::test::validation::reference::winograd_output_transform()</a>.</p>

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          <td class="memname"><a class="el" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a> output_tile_size {}</td>
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<p>Width and height of the output tile. </p>

<p>Definition at line <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l01155">1155</a> of file <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a>.</p>

<p>Referenced by <a class="el" href="_shape_calculator_8h_source.xhtml#l00231">arm_compute::misc::shape_calculator::compute_winograd_filter_transform_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00246">arm_compute::misc::shape_calculator::compute_winograd_input_transform_shape()</a>, <a class="el" href="utils_2_type_printer_8h_source.xhtml#l01534">arm_compute::operator&lt;&lt;()</a>, <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00261">arm_compute::test::validation::reference::winograd_filter_transform()</a>, <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00178">arm_compute::test::validation::reference::winograd_input_transform()</a>, and <a class="el" href="reference_2_winograd_8cpp_source.xhtml#l00334">arm_compute::test::validation::reference::winograd_output_transform()</a>.</p>

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<hr/>The documentation for this struct was generated from the following file:<ul>
<li>arm_compute/core/<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">Types.h</a></li>
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